spatio-temporal modeling for estimation of bigeye tuna catch in the presence of pandemic-related data loss using parametric adjacency structures-Reference-Cited by-同舟云学术

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spatio-temporal modeling for estimation of bigeye tuna catch in the presence of pandemic-related data loss using parametric adjacency structures

Published:2023-12 Issue: Volume:268 Page:106813
ISSN:0165-7836
Container-title:Fisheries Research
language:en
Short-container-title:Fisheries Research

Author:

Majumdar Anandamayee^ORCID,Lennert-Cody Cleridy E.,Maunder Mark N.,Aires-da-Silva Alexandre

Publisher

Elsevier BV

Subject

Aquatic Science

Reference17 articles.

1. Bayliff, W.H. 2001. Organization, functons and achievements of the Inter-American Tropical Tuna Commission. Special Report 13. Inter-American Tropical Tuna Commission, La Jolla, California. (Available from http://www.iattc.org).

2. Evaluating the effect of neighbourhood weight matrices on smoothing properties of conditional autoregressive (CAR) models;Earnest;Int J. Health Geogr.,2007

3. A description of the IATTC bycatch database for use in ecosystem approaches to fisheries and bycatch mitigation;Fuller;IATTC Spec. Rep.,2022

4. IATTC 2021. Document IATTC-98 INF-B.

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